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Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies

4 November 2016
Tal Linzen
Emmanuel Dupoux
Yoav Goldberg
ArXivPDFHTML

Papers citing "Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies"

50 / 496 papers shown
Title
Using Priming to Uncover the Organization of Syntactic Representations
  in Neural Language Models
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
Grusha Prasad
Marten van Schijndel
Tal Linzen
40
51
0
23 Sep 2019
Analysing Neural Language Models: Contextual Decomposition Reveals
  Default Reasoning in Number and Gender Assignment
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender Assignment
Jaap Jumelet
Willem H. Zuidema
Dieuwke Hupkes
LRM
33
37
0
19 Sep 2019
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
Eric Wallace
Yizhong Wang
Sujian Li
Sameer Singh
Matt Gardner
29
262
0
17 Sep 2019
Say Anything: Automatic Semantic Infelicity Detection in L2 English
  Indefinite Pronouns
Say Anything: Automatic Semantic Infelicity Detection in L2 English Indefinite Pronouns
Ella Rabinovich
Julia Watson
Barend Beekhuizen
S. Stevenson
17
3
0
17 Sep 2019
Automatically Extracting Challenge Sets for Non local Phenomena in
  Neural Machine Translation
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation
Leshem Choshen
Omri Abend
19
18
0
15 Sep 2019
Analyzing machine-learned representations: A natural language case study
Analyzing machine-learned representations: A natural language case study
Ishita Dasgupta
Demi Guo
S. Gershman
Noah D. Goodman
NAI
18
13
0
12 Sep 2019
Representation of Constituents in Neural Language Models: Coordination
  Phrase as a Case Study
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study
A. An
Peng Qian
Ethan Gotlieb Wilcox
R. Levy
21
14
0
10 Sep 2019
Investigating BERT's Knowledge of Language: Five Analysis Methods with
  NPIs
Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs
Alex Warstadt
Yuning Cao
Ioana Grosu
Wei Peng
Hagen Blix
...
Jason Phang
Anhad Mohananey
Phu Mon Htut
Paloma Jeretic
Samuel R. Bowman
21
122
0
05 Sep 2019
Higher-order Comparisons of Sentence Encoder Representations
Higher-order Comparisons of Sentence Encoder Representations
Mostafa Abdou
Artur Kulmizev
Felix Hill
D. Low
Anders Søgaard
28
16
0
01 Sep 2019
Quantity doesn't buy quality syntax with neural language models
Quantity doesn't buy quality syntax with neural language models
Marten van Schijndel
Aaron Mueller
Tal Linzen
25
68
0
31 Aug 2019
Does BERT agree? Evaluating knowledge of structure dependence through
  agreement relations
Does BERT agree? Evaluating knowledge of structure dependence through agreement relations
Geoff Bacon
T. Regier
21
21
0
26 Aug 2019
Compositionality decomposed: how do neural networks generalise?
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
CoGe
39
323
0
22 Aug 2019
Recurrent Graph Syntax Encoder for Neural Machine Translation
Recurrent Graph Syntax Encoder for Neural Machine Translation
Liang Ding
Dacheng Tao
45
6
0
19 Aug 2019
Visualizing and Understanding the Effectiveness of BERT
Visualizing and Understanding the Effectiveness of BERT
Y. Hao
Li Dong
Furu Wei
Ke Xu
27
181
0
15 Aug 2019
What BERT is not: Lessons from a new suite of psycholinguistic
  diagnostics for language models
What BERT is not: Lessons from a new suite of psycholinguistic diagnostics for language models
Allyson Ettinger
30
597
0
31 Jul 2019
Augmenting a BiLSTM tagger with a Morphological Lexicon and a Lexical
  Category Identification Step
Augmenting a BiLSTM tagger with a Morphological Lexicon and a Lexical Category Identification Step
Steinþór Steingrímsson
Örvar Kárason
H. Loftsson
19
30
0
21 Jul 2019
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb
  Constructions?
What Should/Do/Can LSTMs Learn When Parsing Auxiliary Verb Constructions?
Miryam de Lhoneux
Sara Stymne
Joakim Nivre
12
3
0
18 Jul 2019
A Comparative Analysis of Knowledge-Intensive and Data-Intensive
  Semantic Parsers
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers
Junjie Cao
Zi-yu Lin
Weiwei SUN
Xiaojun Wan
16
1
0
04 Jul 2019
LTG-Oslo Hierarchical Multi-task Network: The importance of negation for
  document-level sentiment in Spanish
LTG-Oslo Hierarchical Multi-task Network: The importance of negation for document-level sentiment in Spanish
Jeremy Barnes
25
3
0
18 Jun 2019
Curriculum Learning Strategies for Hindi-English Codemixed Sentiment
  Analysis
Curriculum Learning Strategies for Hindi-English Codemixed Sentiment Analysis
Anirudh Dahiya
Neeraj Battan
Manish Shrivastava
D. Sharma
44
8
0
18 Jun 2019
Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level
  Neural Language Models Trained on Unsegmented Text
Tabula nearly rasa: Probing the Linguistic Knowledge of Character-Level Neural Language Models Trained on Unsegmented Text
Michael Hahn
Marco Baroni
LMTD
22
15
0
17 Jun 2019
Theoretical Limitations of Self-Attention in Neural Sequence Models
Theoretical Limitations of Self-Attention in Neural Sequence Models
Michael Hahn
19
261
0
16 Jun 2019
Scalable Syntax-Aware Language Models Using Knowledge Distillation
Scalable Syntax-Aware Language Models Using Knowledge Distillation
A. Kuncoro
Chris Dyer
Laura Rimell
S. Clark
Phil Blunsom
35
26
0
14 Jun 2019
Sentiment analysis is not solved! Assessing and probing sentiment
  classification
Sentiment analysis is not solved! Assessing and probing sentiment classification
Jeremy Barnes
Lilja Øvrelid
Erik Velldal
19
32
0
13 Jun 2019
Putting words in context: LSTM language models and lexical ambiguity
Putting words in context: LSTM language models and lexical ambiguity
Laura Aina
Kristina Gulordava
Gemma Boleda
16
40
0
12 Jun 2019
Lightweight and Efficient Neural Natural Language Processing with
  Quaternion Networks
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Yi Tay
Aston Zhang
Anh Tuan Luu
J. Rao
Shuai Zhang
Shuohang Wang
Jie Fu
S. Hui
23
55
0
11 Jun 2019
What Does BERT Look At? An Analysis of BERT's Attention
What Does BERT Look At? An Analysis of BERT's Attention
Kevin Clark
Urvashi Khandelwal
Omer Levy
Christopher D. Manning
MILM
114
1,584
0
11 Jun 2019
Hierarchical Representation in Neural Language Models: Suppression and
  Recovery of Expectations
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
Ethan Gotlieb Wilcox
R. Levy
Richard Futrell
MILM
13
30
0
10 Jun 2019
Improving Relation Extraction by Pre-trained Language Representations
Improving Relation Extraction by Pre-trained Language Representations
Christoph Alt
Marc Hübner
Leonhard Hennig
VLM
8
87
0
07 Jun 2019
Visualizing and Measuring the Geometry of BERT
Visualizing and Measuring the Geometry of BERT
Andy Coenen
Emily Reif
Ann Yuan
Been Kim
Adam Pearce
F. Viégas
Martin Wattenberg
MILM
43
415
0
06 Jun 2019
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer
  Self-Attentions
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions
David Marecek
Rudolf Rosa
28
52
0
05 Jun 2019
Open Sesame: Getting Inside BERT's Linguistic Knowledge
Open Sesame: Getting Inside BERT's Linguistic Knowledge
Yongjie Lin
Y. Tan
Robert Frank
12
296
0
04 Jun 2019
Sequential Neural Networks as Automata
Sequential Neural Networks as Automata
William Merrill
23
74
0
04 Jun 2019
Finding Syntactic Representations in Neural Stacks
Finding Syntactic Representations in Neural Stacks
William Merrill
Lenny Khazan
Noah Amsel
Sophie Hao
S. Mendelsohn
Robert Frank
19
6
0
04 Jun 2019
The (Non-)Utility of Structural Features in BiLSTM-based Dependency
  Parsers
The (Non-)Utility of Structural Features in BiLSTM-based Dependency Parsers
Agnieszka Falenska
Jonas Kuhn
19
19
0
29 May 2019
Interpreting and improving natural-language processing (in machines)
  with natural language-processing (in the brain)
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva
Leila Wehbe
MILM
AI4CE
42
220
0
28 May 2019
What Syntactic Structures block Dependencies in RNN Language Models?
What Syntactic Structures block Dependencies in RNN Language Models?
Ethan Gotlieb Wilcox
R. Levy
Richard Futrell
17
24
0
24 May 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy
  Lifting, the Rest Can Be Pruned
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned
Elena Voita
David Talbot
F. Moiseev
Rico Sennrich
Ivan Titov
45
1,105
0
23 May 2019
AMR Parsing as Sequence-to-Graph Transduction
AMR Parsing as Sequence-to-Graph Transduction
Sheng Zhang
Xutai Ma
Kevin Duh
Benjamin Van Durme
33
148
0
21 May 2019
What do Entity-Centric Models Learn? Insights from Entity Linking in
  Multi-Party Dialogue
What do Entity-Centric Models Learn? Insights from Entity Linking in Multi-Party Dialogue
Laura Aina
Carina Silberer
M. Westera
Ionut-Teodor Sorodoc
Gemma Boleda
14
9
0
16 May 2019
What do you learn from context? Probing for sentence structure in
  contextualized word representations
What do you learn from context? Probing for sentence structure in contextualized word representations
Ian Tenney
Patrick Xia
Berlin Chen
Alex Jinpeng Wang
Adam Poliak
...
Najoung Kim
Benjamin Van Durme
Samuel R. Bowman
Dipanjan Das
Ellie Pavlick
91
848
0
15 May 2019
Contextualization of Morphological Inflection
Contextualization of Morphological Inflection
Ekaterina Vylomova
Ryan Cotterell
Timothy Baldwin
Trevor Cohn
Jason Eisner
24
3
0
04 May 2019
Evaluating Recurrent Neural Network Explanations
Evaluating Recurrent Neural Network Explanations
L. Arras
Ahmed Osman
K. Müller
Wojciech Samek
XAI
FAtt
24
88
0
26 Apr 2019
Generating Token-Level Explanations for Natural Language Inference
Generating Token-Level Explanations for Natural Language Inference
James Thorne
Andreas Vlachos
Christos Christodoulopoulos
Arpit Mittal
LRM
25
57
0
24 Apr 2019
Evaluating the Representational Hub of Language and Vision Models
Evaluating the Representational Hub of Language and Vision Models
Ravi Shekhar
Ece Takmaz
Raquel Fernández
Raffaella Bernardi
30
11
0
12 Apr 2019
Gating Mechanisms for Combining Character and Word-level Word
  Representations: An Empirical Study
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study
Jorge A. Balazs
Y. Matsuo
AI4CE
NAI
27
3
0
11 Apr 2019
Quizbowl: The Case for Incremental Question Answering
Quizbowl: The Case for Incremental Question Answering
Pedro Rodriguez
Shi Feng
Mohit Iyyer
He He
Jordan L. Boyd-Graber
20
50
0
09 Apr 2019
Analyzing and Interpreting Neural Networks for NLP: A Report on the
  First BlackboxNLP Workshop
Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop
A. Alishahi
Grzegorz Chrupała
Tal Linzen
NAI
MILM
12
63
0
05 Apr 2019
Temporal and Aspectual Entailment
Temporal and Aspectual Entailment
Thomas Kober
Sander Bijl de Vroe
Mark Steedman
15
16
0
02 Apr 2019
Linguistic generalization and compositionality in modern artificial
  neural networks
Linguistic generalization and compositionality in modern artificial neural networks
Marco Baroni
AI4CE
28
147
0
30 Mar 2019
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